Abstract

We introduce a number of extensions and enhancements to a genetic algorithm for crystal structure prediction, to make it suitable to study magnetic systems. The coupling between magnetic properties and crystal structure means that it is essential to take a holistic approach, and we present for the first time, a genetic algorithm that performs a simultaneous global optimisation of both magnetic structure and crystal structure. We first illustrate the power of this approach on a novel test system—the magnetic Lennard–Jones potential—which we define. Then we study the complex interface structures found at the junction of a Heusler alloy and a semiconductor substrate as found in a proposed spintronic device and show the impact of the magnetic interface structure on the device performance.

Highlights

  • In order to meet the challenges posed by modern and emerging technologies, it is increasingly necessary to look beyond existing, known materials

  • We have presented an enhanced genetic algorithm (GA) for the structure prediction of magnetic materials, such that the magnetic and crystal structure may be predicted simultaneously

  • To test the magnetic GA, we introduced a novel pair potential V LJ +S which included magnetic-like effects

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Summary

Introduction

In order to meet the challenges posed by modern and emerging technologies, it is increasingly necessary to look beyond existing, known materials. From solar cells to spintronic devices, call for materials with unprecedented performance characteristics, or even entirely new behavior. Magnetic materials are of particular interest, with applications from fast, high-density data storage such as magnetic RAM devices [1] and heat-assisted magnetic recording (HAMR) [2], to new spintronic and quantum devices, such as spin-valves [3,4]. Magnetic materials include conventional ferromagnets along with more exotic structures, such as antiferromagnets, ferrimagnets, and spin glasses. These materials are already at the heart of many important technologies, but play an increasingly important role in developing and future technologies

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